Finding experiments

To use incense we first have to instantiate an experiment loader that will enable us to query the database for specific runs.

targets_type iteration autoencoder_type batch_size artifacts
exp_id
1 10_Targets False Over_dim 256 {'history_autoencoder': Artifact(name=history_...
2 10_Targets False Over_dim 128 {'history_autoencoder': Artifact(name=history_...
3 10_Targets False Over_dim 64 {'history_autoencoder': Artifact(name=history_...
4 10_Targets False Over_dim 32 {'history_autoencoder': Artifact(name=history_...
5 Mnist False Over_dim 256 {'history_autoencoder': Artifact(name=history_...
6 Mnist False Over_dim 128 {'history_autoencoder': Artifact(name=history_...
7 Mnist False Over_dim 64 {'history_autoencoder': Artifact(name=history_...
8 Mnist False Over_dim 32 {'history_autoencoder': Artifact(name=history_...
66 Noisy False Over_dim 256 {'history_autoencoder': Artifact(name=history_...
67 Noisy False Over_dim 128 {'history_autoencoder': Artifact(name=history_...
68 Noisy False Over_dim 64 {'history_autoencoder': Artifact(name=history_...
69 Noisy False Over_dim 32 {'history_autoencoder': Artifact(name=history_...
targets_type iteration autoencoder_type batch_size artifacts
exp_id
1 10_Targets False Over_dim 256 {'history_autoencoder': Artifact(name=history_...
2 10_Targets False Over_dim 128 {'history_autoencoder': Artifact(name=history_...
3 10_Targets False Over_dim 64 {'history_autoencoder': Artifact(name=history_...
4 10_Targets False Over_dim 32 {'history_autoencoder': Artifact(name=history_...
5 Mnist False Over_dim 256 {'history_autoencoder': Artifact(name=history_...
6 Mnist False Over_dim 128 {'history_autoencoder': Artifact(name=history_...
7 Mnist False Over_dim 64 {'history_autoencoder': Artifact(name=history_...
8 Mnist False Over_dim 32 {'history_autoencoder': Artifact(name=history_...
66 Noisy False Over_dim 256 {'history_autoencoder': Artifact(name=history_...
67 Noisy False Over_dim 128 {'history_autoencoder': Artifact(name=history_...
68 Noisy False Over_dim 64 {'history_autoencoder': Artifact(name=history_...
69 Noisy False Over_dim 32 {'history_autoencoder': Artifact(name=history_...

Red best overall, and also best of subset. Bes means for accuracy max, rest min. Green best of subset.

predictions_df_0
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.9859 0.9851 0.9839 0.976 0.9774 0.9801 0.9774 0.9779 0.9705 0.9708 0.9703 0.9678
1 0.9834 0.9838 0.982 0.9725 0.9736 0.9752 0.9751 0.9736 0.9616 0.9586 0.9559 0.9495
2 0.9832 0.9837 0.982 0.9726 0.9675 0.9658 0.9632 0.9608 0.9453 0.9443 0.9293 0.922
3 0.9832 0.9837 0.982 0.9726 0.9516 0.9495 0.9457 0.9436 0.924 0.9214 0.9027 0.8887
4 0.9832 0.9837 0.982 0.9726 0.9334 0.93 0.9188 0.9212 0.9025 0.8985 0.8713 0.8522
5 0.9832 0.9837 0.982 0.9726 0.9128 0.9058 0.8892 0.8938 0.8774 0.8728 0.8429 0.8157
6 0.9832 0.9837 0.982 0.9726 0.882 0.8786 0.8516 0.862 0.8515 0.846 0.8163 0.7749
7 0.9832 0.9837 0.982 0.9726 0.8474 0.8481 0.81 0.8332 0.8266 0.8175 0.7883 0.7393
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.405846 0.407413 0.407909 0.412037 0.0201405 0.0284971 0.0296224 0.0304359 0.651912 0.65597 0.657636 0.657051
1 0.408316 0.410232 0.411725 0.415863 0.0325913 0.0427956 0.0470546 0.047489 0.668866 0.673641 0.678579 0.678597
2 0.408536 0.41057 0.412104 0.416526 0.0485427 0.0608086 0.0684454 0.0678358 0.686306 0.691416 0.69903 0.700124
3 0.408547 0.41058 0.412137 0.416546 0.0666118 0.0804393 0.0912556 0.089255 0.703317 0.708342 0.717903 0.719993
4 0.408547 0.410582 0.412138 0.416559 0.0859192 0.100838 0.114288 0.110792 0.719602 0.724105 0.73502 0.73781
5 0.408547 0.410582 0.412138 0.416558 0.10589 0.121137 0.136986 0.132799 0.735017 0.738669 0.750456 0.753728
6 0.408547 0.410582 0.412138 0.416559 0.126183 0.141152 0.158792 0.153934 0.749489 0.752109 0.764484 0.767921
7 0.408547 0.410582 0.412138 0.416559 0.14659 0.160736 0.179541 0.174418 0.763025 0.764506 0.77739 0.78056
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.266176 0.266259 0.266265 0.266287 0.0420023 0.0501929 0.0512275 0.0514505 0.377219 0.377765 0.381 0.383893
1 0.2667 0.266844 0.267105 0.266927 0.0534012 0.0619753 0.0653142 0.0649658 0.388644 0.389371 0.394176 0.398215
2 0.266752 0.266928 0.267185 0.26706 0.0659112 0.0752022 0.0804506 0.0792816 0.399575 0.400466 0.406336 0.410968
3 0.266754 0.266927 0.267192 0.267068 0.0785438 0.0884157 0.0951607 0.0931112 0.409904 0.410682 0.417268 0.422209
4 0.266754 0.266927 0.267192 0.26707 0.0909992 0.101313 0.109139 0.106226 0.419553 0.419966 0.426995 0.432025
5 0.266754 0.266927 0.267192 0.26707 0.103161 0.113601 0.122301 0.119009 0.428517 0.428375 0.435653 0.440641
6 0.266754 0.266927 0.267192 0.26707 0.115011 0.125307 0.134541 0.130886 0.436812 0.43601 0.443449 0.448217
7 0.266754 0.266927 0.267192 0.26707 0.126549 0.136452 0.145924 0.142137 0.44447 0.442959 0.450576 0.454876 
predictions_df_10
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.9805 0.9781 0.9772 0.9713 0.9659 0.9702 0.9711 0.9697 0.9665 0.9662 0.9661 0.9638
1 0.9766 0.9776 0.9761 0.9691 0.9662 0.9681 0.9687 0.9664 0.9577 0.9562 0.9527 0.9454
2 0.9762 0.9775 0.9759 0.9688 0.9579 0.9553 0.957 0.9515 0.9418 0.9394 0.9274 0.9155
3 0.9762 0.9775 0.9759 0.9687 0.9422 0.9383 0.9361 0.9324 0.9202 0.9201 0.8991 0.8837
4 0.9762 0.9775 0.9759 0.9687 0.9196 0.917 0.9053 0.9105 0.8994 0.898 0.8684 0.8491
5 0.9762 0.9775 0.9759 0.9687 0.8913 0.8922 0.8722 0.8832 0.8748 0.8737 0.8387 0.8124
6 0.9762 0.9775 0.9759 0.9687 0.8585 0.859 0.8349 0.8542 0.8501 0.8472 0.8101 0.7747
7 0.9762 0.9775 0.9759 0.9687 0.82 0.8287 0.7946 0.8205 0.8261 0.8173 0.7832 0.7406
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.405328 0.406613 0.407167 0.410978 0.0333458 0.0389269 0.0394954 0.0410863 0.653283 0.657485 0.659003 0.658313
1 0.409092 0.410386 0.4124 0.416181 0.0440291 0.0515125 0.0552519 0.0562369 0.670243 0.674922 0.679675 0.679591
2 0.409344 0.410811 0.412739 0.416988 0.0594835 0.0686068 0.0757398 0.0757018 0.687484 0.692443 0.69998 0.700936
3 0.409355 0.410837 0.412753 0.417028 0.0774327 0.0878542 0.0979168 0.0965847 0.704287 0.709185 0.718693 0.720672
4 0.409355 0.410838 0.412754 0.417044 0.0967377 0.107612 0.120455 0.117765 0.72042 0.724872 0.73569 0.738388
5 0.409355 0.410838 0.412754 0.417044 0.116774 0.127634 0.142659 0.138862 0.73572 0.739455 0.751056 0.754168
6 0.409355 0.410838 0.412754 0.417045 0.137056 0.147459 0.163975 0.160157 0.750106 0.752948 0.764999 0.768233
7 0.409355 0.410838 0.412754 0.417045 0.157369 0.167234 0.18434 0.183046 0.763543 0.765385 0.777726 0.780782
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.266363 0.266278 0.266339 0.266338 0.0556677 0.0598691 0.0604611 0.0613728 0.379662 0.379864 0.382904 0.385727
1 0.267164 0.266974 0.267449 0.267172 0.0632183 0.0689381 0.0717502 0.0719355 0.389717 0.390358 0.395072 0.39906
2 0.267217 0.267066 0.267526 0.267314 0.0740883 0.0807967 0.0855434 0.0848927 0.400247 0.401095 0.406935 0.411506
3 0.267218 0.267072 0.267529 0.267326 0.0858968 0.0933337 0.0994873 0.0980099 0.410373 0.411149 0.417695 0.422615
4 0.267219 0.267072 0.26753 0.267329 0.0978699 0.105624 0.11294 0.110678 0.419902 0.420359 0.427314 0.43236
5 0.267219 0.267072 0.26753 0.267329 0.109744 0.117582 0.125656 0.122814 0.428788 0.428758 0.435909 0.440893
6 0.267219 0.267072 0.26753 0.267329 0.121364 0.129068 0.137524 0.134672 0.437029 0.436406 0.443647 0.448393
7 0.267219 0.267072 0.26753 0.267329 0.13268 0.140225 0.14863 0.147019 0.444639 0.443368 0.450685 0.454998 
predictions_df_20
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.9693 0.9714 0.9702 0.9612 0.9441 0.9522 0.9544 0.9553 0.9612 0.9622 0.9601 0.9581
1 0.9651 0.9706 0.9679 0.9584 0.9499 0.9551 0.957 0.9542 0.9526 0.9525 0.9464 0.9412
2 0.9648 0.9706 0.9675 0.958 0.9363 0.9406 0.9425 0.9406 0.9372 0.935 0.9236 0.914
3 0.9647 0.9706 0.9675 0.958 0.9129 0.9234 0.9184 0.9201 0.9156 0.9173 0.8967 0.8827
4 0.9647 0.9706 0.9675 0.958 0.888 0.8999 0.8883 0.8907 0.8952 0.8917 0.868 0.8479
5 0.9647 0.9706 0.9675 0.958 0.8555 0.8721 0.8515 0.8561 0.8723 0.8672 0.8376 0.8133
6 0.9647 0.9706 0.9675 0.958 0.8176 0.843 0.81 0.8258 0.8462 0.8444 0.8119 0.7737
7 0.9647 0.9706 0.9675 0.958 0.7796 0.8158 0.7655 0.793 0.8211 0.8176 0.7843 0.7387
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.404812 0.405826 0.405897 0.409101 0.0476364 0.0508992 0.0513891 0.054874 0.655091 0.659466 0.660997 0.660077
1 0.410544 0.410936 0.413225 0.416117 0.0573917 0.0622637 0.0658907 0.0687528 0.671973 0.676681 0.681345 0.681223
2 0.411045 0.411507 0.41384 0.41714 0.0728086 0.0786207 0.0856832 0.0875705 0.688937 0.693977 0.701362 0.702559
3 0.411084 0.411561 0.413878 0.417211 0.0909776 0.0971089 0.107479 0.108059 0.705485 0.710578 0.719804 0.722123
4 0.411085 0.411562 0.41388 0.417238 0.110541 0.116423 0.129766 0.12892 0.721363 0.726075 0.736547 0.739582
5 0.411085 0.411562 0.41388 0.417247 0.130753 0.135976 0.151622 0.149689 0.736414 0.740388 0.751713 0.755095
6 0.411085 0.411562 0.41388 0.417248 0.151134 0.155557 0.172648 0.171133 0.750558 0.753595 0.765554 0.768925
7 0.411085 0.411562 0.41388 0.417248 0.171505 0.176008 0.193032 0.192191 0.763808 0.765819 0.77827 0.781337
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.266922 0.26649 0.266489 0.266256 0.0682348 0.0698025 0.0704383 0.0725424 0.382478 0.382324 0.385182 0.38791
1 0.268074 0.267347 0.267999 0.267275 0.0736629 0.0769926 0.0796895 0.0811094 0.391087 0.391645 0.396249 0.400277
2 0.268185 0.267467 0.268133 0.267427 0.0834695 0.0877248 0.0923053 0.0929217 0.401138 0.402035 0.407707 0.412436
3 0.268192 0.26747 0.268142 0.267443 0.0947285 0.0993894 0.105575 0.105339 0.410991 0.411914 0.418236 0.423357
4 0.268192 0.267469 0.268143 0.267448 0.106408 0.111121 0.118582 0.117514 0.420326 0.420975 0.427698 0.432942
5 0.268192 0.267469 0.268143 0.267449 0.118077 0.122631 0.130924 0.129264 0.429066 0.429223 0.43619 0.44134
6 0.268192 0.267469 0.268143 0.267449 0.129521 0.133831 0.142503 0.141032 0.437181 0.436723 0.443874 0.448714
7 0.268192 0.267469 0.268143 0.267449 0.140728 0.145158 0.153511 0.152358 0.444698 0.443568 0.450883 0.455246 
predictions_df_30
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.9517 0.9586 0.9573 0.9488 0.9179 0.9259 0.934 0.9285 0.9536 0.9542 0.952 0.9501
1 0.9447 0.9589 0.9531 0.9472 0.925 0.9303 0.9387 0.9306 0.949 0.9444 0.9407 0.9345
2 0.9441 0.9587 0.9527 0.9471 0.9093 0.9182 0.9203 0.9108 0.9305 0.9265 0.9161 0.9069
3 0.9442 0.9586 0.9527 0.947 0.8811 0.896 0.8882 0.8874 0.9112 0.9056 0.89 0.8779
4 0.9442 0.9586 0.9527 0.947 0.8496 0.8691 0.8524 0.8577 0.8886 0.8852 0.8631 0.8421
5 0.9442 0.9586 0.9527 0.947 0.8114 0.8385 0.8115 0.8227 0.8644 0.861 0.8353 0.8076
6 0.9442 0.9586 0.9527 0.947 0.7656 0.8047 0.774 0.7875 0.8387 0.8375 0.808 0.7703
7 0.9442 0.9586 0.9527 0.947 0.7231 0.7759 0.7319 0.7575 0.8146 0.8097 0.781 0.7311
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.405582 0.405659 0.40583 0.408721 0.0637877 0.0646255 0.0657407 0.0765114 0.657328 0.661879 0.663047 0.661962
1 0.414465 0.412777 0.415919 0.417874 0.0731841 0.0750521 0.0793314 0.0898674 0.674164 0.679018 0.68305 0.682785
2 0.415131 0.413465 0.416779 0.419075 0.0887943 0.0907445 0.0984559 0.107928 0.690811 0.696008 0.702796 0.703853
3 0.41518 0.413526 0.416841 0.419167 0.107233 0.10866 0.119593 0.127873 0.707128 0.712274 0.721087 0.723315
4 0.415181 0.413539 0.416843 0.419187 0.126994 0.127409 0.141191 0.148316 0.722884 0.727532 0.737742 0.740855
5 0.415181 0.41354 0.416843 0.419187 0.147347 0.146291 0.162449 0.16919 0.737835 0.741718 0.752881 0.756435
6 0.415181 0.41354 0.416843 0.419188 0.167816 0.165003 0.183159 0.189917 0.75184 0.754881 0.766631 0.770237
7 0.415181 0.41354 0.416843 0.419188 0.188315 0.18339 0.202814 0.211439 0.764875 0.767038 0.779143 0.782515
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.268456 0.267225 0.267471 0.267066 0.0810928 0.0804933 0.0814174 0.0875742 0.38575 0.385292 0.387725 0.390414
1 0.270349 0.268412 0.26955 0.268317 0.0851522 0.0862122 0.0890692 0.0946603 0.392776 0.393402 0.397597 0.401546
2 0.270487 0.268532 0.269743 0.268509 0.0942112 0.0958726 0.100568 0.105317 0.402278 0.403322 0.40861 0.413294
3 0.270498 0.268546 0.269755 0.268528 0.104979 0.106771 0.112979 0.116932 0.411866 0.41291 0.418926 0.424071
4 0.270499 0.268546 0.269756 0.268531 0.116304 0.11788 0.125308 0.128573 0.421056 0.421777 0.428266 0.433625
5 0.270499 0.268547 0.269756 0.268531 0.127693 0.128793 0.137139 0.140143 0.429678 0.429908 0.436675 0.442
6 0.270499 0.268547 0.269756 0.268531 0.138922 0.139359 0.148423 0.151385 0.437678 0.437343 0.444268 0.44934
7 0.270499 0.268547 0.269756 0.268531 0.149971 0.149541 0.158957 0.162761 0.445068 0.444137 0.451151 0.4558 
predictions_df_40
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.9247 0.9364 0.9309 0.9244 0.8815 0.8905 0.9012 0.892 0.944 0.9457 0.9398 0.9431
1 0.9117 0.9344 0.9219 0.9239 0.89 0.8964 0.9062 0.8951 0.9377 0.9363 0.9286 0.9253
2 0.9114 0.9342 0.9211 0.9238 0.8736 0.881 0.8892 0.8775 0.9202 0.9203 0.9071 0.8989
3 0.9114 0.9341 0.9211 0.9238 0.8435 0.8592 0.8559 0.8527 0.8985 0.902 0.88 0.8678
4 0.9114 0.9341 0.9211 0.9238 0.8089 0.8272 0.8178 0.8179 0.8748 0.8815 0.8505 0.8334
5 0.9114 0.9341 0.9211 0.9238 0.7656 0.7998 0.7767 0.7834 0.8532 0.8592 0.8246 0.8002
6 0.9114 0.9341 0.9211 0.9238 0.7261 0.7687 0.7332 0.7535 0.8281 0.8336 0.7968 0.7647
7 0.9114 0.9341 0.9211 0.9238 0.686 0.7401 0.6899 0.7201 0.8062 0.8043 0.7696 0.73
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.408918 0.404708 0.406346 0.408498 0.0815687 0.0811727 0.0827611 0.107204 0.660047 0.665153 0.66597 0.66461
1 0.421742 0.415538 0.421957 0.42133 0.0907393 0.090921 0.0959053 0.119559 0.677094 0.682366 0.6859 0.685171
2 0.422454 0.417246 0.423561 0.423075 0.106424 0.106106 0.114538 0.136958 0.69355 0.699084 0.705464 0.706029
3 0.42247 0.417425 0.42371 0.423242 0.12501 0.123592 0.13508 0.156386 0.709577 0.714983 0.723496 0.725163
4 0.42247 0.417485 0.423718 0.42327 0.144778 0.141914 0.155978 0.176311 0.725006 0.729903 0.739906 0.74229
5 0.42247 0.417486 0.423718 0.423272 0.164949 0.160408 0.176485 0.196351 0.739677 0.743752 0.75481 0.757575
6 0.42247 0.417486 0.423718 0.423272 0.185036 0.178806 0.196173 0.216743 0.753508 0.756592 0.768401 0.771161
7 0.42247 0.417486 0.423718 0.423272 0.20501 0.197013 0.214983 0.237287 0.766461 0.768522 0.780834 0.78317
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.27165 0.268348 0.269891 0.268503 0.0942749 0.0924013 0.0938089 0.107067 0.389715 0.38899 0.391144 0.393661
1 0.274481 0.270355 0.27315 0.270445 0.0973057 0.0970429 0.100312 0.112816 0.395084 0.395793 0.399744 0.403409
2 0.274624 0.270698 0.273514 0.270744 0.105656 0.10585 0.110867 0.122433 0.403987 0.405185 0.410273 0.414638
3 0.274626 0.27073 0.273547 0.270782 0.11596 0.116091 0.122483 0.133257 0.413223 0.41444 0.420292 0.425084
4 0.274626 0.270746 0.273549 0.270787 0.126863 0.12669 0.134097 0.144222 0.422142 0.423081 0.429415 0.434357
5 0.274626 0.270747 0.273549 0.270788 0.137855 0.137215 0.145289 0.155061 0.430568 0.431012 0.437669 0.442528
6 0.274626 0.270747 0.273549 0.270788 0.148694 0.147489 0.155885 0.165902 0.438448 0.43829 0.445167 0.449715
7 0.274626 0.270747 0.273549 0.270788 0.159342 0.157458 0.16586 0.176662 0.445777 0.444982 0.452014 0.456018 
predictions_df_50
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.8851 0.9044 0.8963 0.8952 0.8355 0.849 0.8594 0.8407 0.9295 0.9318 0.9294 0.9269
1 0.868 0.9011 0.8869 0.8963 0.8443 0.8513 0.8655 0.8473 0.9254 0.9259 0.9187 0.9124
2 0.8668 0.9004 0.8866 0.8964 0.8288 0.8342 0.847 0.8309 0.9067 0.9084 0.8946 0.8855
3 0.8668 0.9005 0.8865 0.8965 0.7917 0.8144 0.808 0.8014 0.8863 0.8854 0.8684 0.8563
4 0.8668 0.9005 0.8865 0.8965 0.7554 0.7838 0.7631 0.7679 0.8631 0.8654 0.8416 0.8242
5 0.8668 0.9005 0.8865 0.8965 0.7144 0.7555 0.7223 0.7324 0.8426 0.841 0.814 0.7919
6 0.8668 0.9005 0.8865 0.8965 0.6666 0.7238 0.6812 0.6985 0.8222 0.8157 0.7901 0.7564
7 0.8668 0.9005 0.8865 0.8965 0.6234 0.6877 0.6415 0.6657 0.7998 0.79 0.7663 0.724
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.412852 0.406614 0.408193 0.409169 0.101264 0.0998812 0.103731 0.162213 0.663794 0.66902 0.669493 0.66782
1 0.430994 0.422234 0.429382 0.425458 0.11054 0.1092 0.116311 0.174101 0.680951 0.6863 0.689281 0.688349
2 0.432234 0.424348 0.431383 0.427456 0.126387 0.12373 0.134266 0.190654 0.697075 0.702831 0.708535 0.708994
3 0.432353 0.42457 0.431596 0.427622 0.14496 0.140531 0.15411 0.209184 0.712687 0.718585 0.726254 0.727799
4 0.43236 0.424627 0.431611 0.427647 0.16459 0.158335 0.174311 0.228159 0.727693 0.733294 0.742473 0.744692
5 0.43236 0.424628 0.431612 0.427649 0.184729 0.176416 0.194056 0.247575 0.74194 0.746969 0.757216 0.759728
6 0.43236 0.424628 0.431612 0.42765 0.20462 0.194417 0.213132 0.267317 0.755357 0.759683 0.770581 0.773133
7 0.43236 0.424628 0.431612 0.42765 0.223933 0.211721 0.231085 0.287314 0.767911 0.771502 0.78273 0.785083
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.275632 0.27107 0.273039 0.270521 0.107996 0.105262 0.107844 0.138404 0.39426 0.393183 0.394988 0.397422
1 0.279761 0.27413 0.277347 0.272787 0.110444 0.109095 0.113331 0.143218 0.397946 0.39865 0.402199 0.405826
2 0.280041 0.274569 0.2778 0.273087 0.118278 0.117014 0.122926 0.151781 0.406126 0.407545 0.412128 0.416495
3 0.280074 0.274602 0.277864 0.27312 0.128083 0.126471 0.133759 0.161687 0.414922 0.416541 0.421827 0.426594
4 0.280074 0.274616 0.277867 0.273124 0.138537 0.136461 0.144689 0.171816 0.423509 0.42498 0.430772 0.43565
5 0.280074 0.274616 0.277868 0.273125 0.149209 0.146492 0.155257 0.18206 0.431657 0.432776 0.438898 0.443642
6 0.280074 0.274616 0.277868 0.273125 0.159672 0.15638 0.165324 0.192342 0.439288 0.439938 0.446279 0.450684
7 0.280074 0.274616 0.277868 0.273125 0.16978 0.165788 0.17471 0.202618 0.446383 0.446515 0.452983 0.456901 
predictions_df_60
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.8293 0.8513 0.8416 0.8467 0.7781 0.7877 0.8027 0.783 0.9045 0.9085 0.904 0.9008
1 0.8076 0.85 0.8315 0.8478 0.7917 0.7932 0.8079 0.7866 0.9057 0.9058 0.8982 0.8878
2 0.8047 0.8497 0.831 0.8474 0.7655 0.7759 0.783 0.7648 0.8869 0.89 0.8744 0.8651
3 0.8046 0.8499 0.831 0.8473 0.7344 0.7546 0.7439 0.7365 0.8627 0.8673 0.8477 0.8326
4 0.8046 0.8499 0.831 0.8473 0.6926 0.7245 0.7032 0.705 0.8393 0.8481 0.8223 0.8008
5 0.8046 0.8499 0.831 0.8473 0.6509 0.6924 0.6592 0.6736 0.8196 0.8257 0.8011 0.7652
6 0.8046 0.8499 0.831 0.8473 0.613 0.6652 0.6198 0.6457 0.7989 0.8024 0.7745 0.7327
7 0.8046 0.8499 0.831 0.8473 0.573 0.6335 0.5817 0.6125 0.7762 0.7756 0.7499 0.6993
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.419886 0.411294 0.412447 0.411952 0.124999 0.123663 0.131314 0.235707 0.668549 0.673888 0.674354 0.672273
1 0.444337 0.43164 0.441538 0.433257 0.134295 0.13283 0.143845 0.247752 0.686277 0.691478 0.694254 0.692859
2 0.446303 0.434637 0.444467 0.436029 0.150105 0.146812 0.161394 0.263452 0.702383 0.707702 0.713304 0.713358
3 0.446349 0.434948 0.444626 0.436359 0.168539 0.162892 0.18058 0.280779 0.717768 0.723062 0.730698 0.731896
4 0.446351 0.435003 0.444634 0.436413 0.187944 0.179856 0.199873 0.299119 0.732477 0.737455 0.746531 0.748442
5 0.446351 0.435004 0.444634 0.436441 0.207416 0.197261 0.218896 0.316973 0.746344 0.750844 0.760853 0.763126
6 0.446351 0.435004 0.444634 0.436442 0.226858 0.214797 0.236993 0.33414 0.759442 0.763268 0.773779 0.776236
7 0.446351 0.435004 0.444634 0.436442 0.246048 0.231771 0.25399 0.351851 0.771752 0.77473 0.785527 0.78796
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.281561 0.275539 0.278318 0.274337 0.123693 0.120816 0.125259 0.178776 0.39998 0.398412 0.400164 0.40243
1 0.287378 0.279609 0.284309 0.277449 0.125494 0.124055 0.130152 0.18309 0.401991 0.402441 0.405993 0.409265
2 0.287863 0.280243 0.284936 0.277887 0.132723 0.131234 0.139004 0.190674 0.409495 0.410606 0.415277 0.419267
3 0.28787 0.280293 0.284972 0.277945 0.142016 0.13997 0.149048 0.199496 0.417881 0.419142 0.424561 0.428998
4 0.28787 0.2803 0.284974 0.277959 0.152022 0.149257 0.159205 0.208913 0.426154 0.427277 0.433174 0.437773
5 0.28787 0.2803 0.284974 0.277968 0.162103 0.158705 0.169168 0.218055 0.434008 0.434829 0.441007 0.445534
6 0.28787 0.2803 0.284974 0.277968 0.172155 0.168097 0.178575 0.226793 0.441393 0.441765 0.448093 0.452397
7 0.28787 0.2803 0.284974 0.277968 0.182016 0.177111 0.187349 0.235728 0.448304 0.44811 0.454545 0.458469 
predictions_df_70
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.76 0.7902 0.7744 0.786 0.7126 0.7178 0.7266 0.6939 0.8747 0.875 0.871 0.8718
1 0.7382 0.7858 0.7592 0.7873 0.7194 0.7203 0.7309 0.7025 0.8797 0.8777 0.8662 0.8622
2 0.7366 0.784 0.7584 0.7873 0.6917 0.7052 0.7041 0.679 0.8616 0.8582 0.8437 0.8336
3 0.7365 0.7839 0.7584 0.7873 0.6544 0.6811 0.6663 0.6556 0.8394 0.8354 0.8226 0.8035
4 0.7365 0.7839 0.7584 0.7873 0.6099 0.6536 0.6284 0.6262 0.8197 0.8176 0.8006 0.7752
5 0.7365 0.7839 0.7584 0.7873 0.5687 0.6246 0.5872 0.6014 0.7989 0.7974 0.7744 0.7436
6 0.7365 0.7839 0.7584 0.7873 0.5372 0.5988 0.551 0.573 0.7753 0.7723 0.7486 0.7119
7 0.7365 0.7839 0.7584 0.7873 0.5019 0.5686 0.5153 0.5444 0.7528 0.7476 0.7266 0.679
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.428187 0.416046 0.418245 0.415555 0.152239 0.150735 0.162675 0.347507 0.675248 0.681012 0.680903 0.677828
1 0.457727 0.442886 0.456102 0.441316 0.162095 0.160039 0.174847 0.360955 0.693742 0.699151 0.701008 0.698646
2 0.459635 0.447228 0.459984 0.444792 0.178231 0.173839 0.191541 0.375518 0.709678 0.715045 0.719694 0.718827
3 0.459711 0.447789 0.460258 0.445171 0.196378 0.189426 0.209747 0.391719 0.724594 0.729805 0.736586 0.736722
4 0.459729 0.447848 0.460282 0.445216 0.215238 0.20577 0.228066 0.408664 0.738857 0.743645 0.75186 0.752633
5 0.45973 0.44785 0.460283 0.445223 0.234203 0.222418 0.246069 0.425644 0.752408 0.756563 0.765646 0.766806
6 0.45973 0.44785 0.460283 0.445223 0.253419 0.238926 0.262932 0.442558 0.765186 0.768556 0.778119 0.77943
7 0.45973 0.44785 0.460283 0.445224 0.271975 0.255337 0.27927 0.459808 0.777148 0.779669 0.789503 0.790714
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.287936 0.280681 0.284978 0.278411 0.140918 0.137862 0.144484 0.238058 0.407196 0.405316 0.406613 0.408583
1 0.294739 0.286222 0.292607 0.282081 0.142468 0.140835 0.148596 0.242585 0.407564 0.407877 0.410829 0.413736
2 0.295188 0.287165 0.293434 0.282684 0.149362 0.147511 0.156464 0.249088 0.414164 0.415225 0.419227 0.422854
3 0.295208 0.287276 0.293502 0.282754 0.158079 0.15562 0.16558 0.256936 0.421934 0.423169 0.427905 0.431923
4 0.295212 0.287286 0.293507 0.282762 0.167471 0.16428 0.174903 0.265329 0.429765 0.430863 0.436052 0.440217
5 0.295212 0.287285 0.293507 0.282764 0.177026 0.173122 0.184068 0.273753 0.437308 0.438065 0.443496 0.447604
6 0.295212 0.287285 0.293507 0.282764 0.18671 0.181814 0.192648 0.282125 0.444436 0.444719 0.450277 0.454143
7 0.295212 0.287285 0.293507 0.282764 0.196095 0.190372 0.200943 0.290642 0.451102 0.450854 0.456484 0.459956 
predictions_df_80
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.6746 0.7005 0.6845 0.7026 0.6425 0.6304 0.6454 0.5977 0.8238 0.8209 0.8229 0.8246
1 0.6494 0.6939 0.6645 0.7068 0.6421 0.6366 0.6488 0.6074 0.8302 0.8311 0.8228 0.8191
2 0.6484 0.693 0.6628 0.7061 0.6157 0.6234 0.6305 0.5872 0.8146 0.8182 0.8061 0.7943
3 0.6482 0.6928 0.6628 0.706 0.5812 0.6012 0.5926 0.5662 0.7925 0.7968 0.7801 0.76
4 0.6482 0.6929 0.6628 0.706 0.5479 0.5741 0.5591 0.5409 0.7726 0.7753 0.7548 0.7306
5 0.6482 0.6929 0.6628 0.706 0.511 0.5481 0.5209 0.5147 0.7522 0.753 0.7321 0.7029
6 0.6482 0.6929 0.6628 0.706 0.4787 0.527 0.4877 0.4883 0.7342 0.729 0.7063 0.6745
7 0.6482 0.6929 0.6628 0.706 0.4449 0.505 0.4569 0.4677 0.7154 0.7057 0.6846 0.6429
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.438368 0.425735 0.427351 0.426069 0.186703 0.183769 0.201153 0.523822 0.68479 0.690908 0.689787 0.686328
1 0.474756 0.459147 0.474367 0.458138 0.197009 0.193261 0.213019 0.538245 0.704542 0.710288 0.71074 0.707977
2 0.477095 0.464603 0.479313 0.46233 0.212591 0.206633 0.228818 0.551192 0.720647 0.726213 0.72955 0.728422
3 0.477192 0.465242 0.479642 0.462822 0.230236 0.22166 0.245496 0.565365 0.735193 0.740582 0.746083 0.746135
4 0.477196 0.465339 0.479667 0.462859 0.248607 0.237122 0.262066 0.580034 0.748897 0.75394 0.760813 0.761637
5 0.477196 0.465344 0.479669 0.462866 0.26676 0.252732 0.278264 0.594551 0.761817 0.766416 0.774082 0.775365
6 0.477196 0.465344 0.479669 0.462867 0.284884 0.268356 0.293951 0.609128 0.773955 0.777987 0.786154 0.787546
7 0.477196 0.465344 0.479669 0.462867 0.303361 0.283716 0.308881 0.623925 0.785315 0.78867 0.797195 0.798359
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.295748 0.288371 0.293392 0.286724 0.161564 0.157781 0.167098 0.328476 0.416416 0.414172 0.415 0.416771
1 0.304337 0.295447 0.302875 0.291569 0.162868 0.160531 0.170616 0.333222 0.415303 0.415509 0.417905 0.42039
2 0.304848 0.296656 0.303962 0.292288 0.169038 0.166686 0.177567 0.338614 0.421042 0.422161 0.425568 0.428821
3 0.304863 0.296792 0.304037 0.292375 0.177142 0.17424 0.185509 0.345141 0.428114 0.42954 0.433662 0.437403
4 0.304863 0.296802 0.30404 0.292383 0.186015 0.182195 0.19362 0.352093 0.435347 0.436772 0.441297 0.445255
5 0.304863 0.296802 0.30404 0.292384 0.19494 0.190266 0.201618 0.35903 0.44238 0.443596 0.448331 0.452268
6 0.304863 0.296802 0.30404 0.292384 0.203918 0.198345 0.209411 0.365983 0.449044 0.449931 0.454808 0.458505
7 0.304863 0.296802 0.30404 0.292384 0.213087 0.206271 0.216819 0.373078 0.455298 0.455755 0.460783 0.464056 
predictions_df_90
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.5718 0.5965 0.5888 0.6034 0.5416 0.5378 0.5469 0.4884 0.7299 0.7374 0.7429 0.7401
1 0.5447 0.5912 0.5718 0.6176 0.5401 0.5397 0.5408 0.4993 0.7488 0.7456 0.7487 0.7381
2 0.5435 0.5901 0.5711 0.6175 0.517 0.5229 0.5249 0.4839 0.7402 0.7357 0.7313 0.7133
3 0.5432 0.5898 0.571 0.6174 0.4857 0.5041 0.4949 0.4623 0.7254 0.7187 0.7107 0.69
4 0.5432 0.5898 0.571 0.6174 0.4518 0.4855 0.4613 0.4434 0.7079 0.7007 0.6889 0.6596
5 0.5432 0.5898 0.571 0.6174 0.4262 0.4624 0.4289 0.4278 0.6879 0.6809 0.6691 0.6341
6 0.5432 0.5898 0.571 0.6174 0.3996 0.4407 0.401 0.408 0.6714 0.6601 0.6477 0.6073
7 0.5432 0.5898 0.571 0.6174 0.3713 0.4245 0.3823 0.3937 0.6538 0.6378 0.631 0.5834
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.447527 0.433355 0.434261 0.43263 0.230042 0.223261 0.273373 0.83954 0.697481 0.704799 0.70216 0.697246
1 0.493122 0.475556 0.489553 0.47067 0.240655 0.232978 0.285642 0.851326 0.719297 0.725511 0.72433 0.720446
2 0.495834 0.481226 0.495524 0.475611 0.256812 0.245764 0.300495 0.862435 0.736044 0.741245 0.743148 0.740992
3 0.495969 0.481864 0.495933 0.476184 0.273967 0.260116 0.316457 0.874526 0.750408 0.754961 0.759057 0.758151
4 0.496002 0.481898 0.495955 0.476237 0.291347 0.274944 0.332197 0.886893 0.763611 0.767535 0.773143 0.772987
5 0.496003 0.481898 0.495956 0.476247 0.309191 0.289398 0.347087 0.898773 0.775872 0.779171 0.785829 0.786064
6 0.496003 0.481898 0.495956 0.476248 0.327759 0.30368 0.361264 0.910405 0.787242 0.78996 0.797326 0.797622
7 0.496003 0.481898 0.495956 0.476248 0.345857 0.31797 0.374979 0.922309 0.797798 0.799962 0.807852 0.807835
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.303588 0.295587 0.300221 0.292792 0.186282 0.180678 0.205833 0.486351 0.428019 0.425591 0.425603 0.427066
1 0.314437 0.304418 0.311361 0.298628 0.187338 0.183307 0.209192 0.489735 0.42559 0.42568 0.427311 0.429328
2 0.315057 0.305581 0.312647 0.299519 0.193433 0.188887 0.215389 0.493981 0.430511 0.431384 0.434057 0.43683
3 0.315085 0.305711 0.312735 0.299616 0.200949 0.195839 0.222714 0.499235 0.436952 0.437991 0.441371 0.444623
4 0.315093 0.305714 0.31274 0.299627 0.209029 0.203246 0.230174 0.504852 0.443621 0.444541 0.448395 0.451811
5 0.315093 0.305712 0.31274 0.299629 0.2176 0.210542 0.23733 0.510325 0.450097 0.450753 0.454946 0.458281
6 0.315093 0.305712 0.31274 0.299629 0.226634 0.217778 0.244208 0.515746 0.456227 0.456556 0.461013 0.464046
7 0.315093 0.305712 0.31274 0.299629 0.235464 0.225 0.250876 0.521326 0.461984 0.461935 0.466633 0.469157 
predictions_df_100
Accuracy over iterations evaluations_feature_classifier
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.4859 0.506 0.5034 0.5187 0.4407 0.446 0.4479 0.3651 0.6231 0.6355 0.6417 0.6449
1 0.4626 0.5019 0.4839 0.5264 0.4409 0.4498 0.4491 0.3749 0.6436 0.6459 0.6549 0.6454
2 0.4618 0.5007 0.4833 0.5273 0.4154 0.4354 0.4324 0.362 0.6402 0.6351 0.6396 0.6275
3 0.4617 0.5008 0.4832 0.5273 0.3805 0.4184 0.4065 0.3467 0.6256 0.6193 0.6165 0.6051
4 0.4617 0.5009 0.4832 0.5273 0.3583 0.3993 0.3827 0.3375 0.6122 0.6038 0.5968 0.5816
5 0.4617 0.5009 0.4832 0.5273 0.3386 0.3841 0.361 0.3238 0.5984 0.5873 0.5826 0.5614
6 0.4617 0.5009 0.4832 0.5273 0.3196 0.365 0.3371 0.3114 0.5848 0.5716 0.5659 0.5411
7 0.4617 0.5009 0.4832 0.5273 0.3033 0.3507 0.3182 0.3022 0.57 0.5543 0.5505 0.5229
Loss over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.457922 0.445219 0.442727 0.444097 0.320075 0.281777 0.409031 1.29169 0.716855 0.724989 0.720663 0.713318
1 0.507736 0.491609 0.506161 0.488082 0.33349 0.293716 0.423896 1.30406 0.741463 0.74796 0.744427 0.737835
2 0.510967 0.498368 0.513313 0.494043 0.349804 0.306674 0.437016 1.31229 0.759178 0.764115 0.763777 0.75855
3 0.511109 0.499124 0.513858 0.494734 0.366513 0.320587 0.451261 1.32136 0.773472 0.777391 0.779603 0.77506
4 0.51114 0.499189 0.513886 0.494783 0.383785 0.334074 0.465205 1.33067 0.786134 0.789175 0.793398 0.788879
5 0.511141 0.499199 0.513887 0.494793 0.399847 0.347596 0.478667 1.33989 0.79775 0.799889 0.805609 0.800847
6 0.511141 0.499199 0.513887 0.494793 0.41641 0.361261 0.492031 1.34929 0.808491 0.809692 0.816547 0.811424
7 0.511141 0.499199 0.513887 0.494794 0.432526 0.374627 0.504573 1.35817 0.818397 0.818759 0.826485 0.820806
MAE over iterations autoencoder
Over_dim 256 10_Targets Over_dim 128 10_Targets Over_dim 64 10_Targets Over_dim 32 10_Targets Over_dim 256 Mnist Over_dim 128 Mnist Over_dim 64 Mnist Over_dim 32 Mnist Over_dim 256 Noisy Over_dim 128 Noisy Over_dim 64 Noisy Over_dim 32 Noisy
0 0.311086 0.30388 0.308116 0.300863 0.234037 0.212806 0.275581 0.709781 0.443402 0.4407 0.44 0.440715
1 0.322517 0.313381 0.320681 0.308275 0.235875 0.21629 0.279897 0.713696 0.440435 0.440198 0.440829 0.441332
2 0.323202 0.314762 0.322179 0.309368 0.241789 0.22172 0.284978 0.716584 0.444778 0.445199 0.446824 0.447719
3 0.323227 0.31491 0.322303 0.309489 0.248855 0.228247 0.291244 0.720317 0.45057 0.451072 0.453548 0.454567
4 0.323236 0.314918 0.32231 0.3095 0.25663 0.234812 0.297618 0.724376 0.456565 0.456908 0.460072 0.460908
5 0.323236 0.314921 0.32231 0.309502 0.264133 0.241481 0.303912 0.728489 0.462411 0.462442 0.466154 0.466612
6 0.323236 0.314921 0.32231 0.309502 0.272014 0.248242 0.310192 0.732746 0.467977 0.467584 0.47177 0.471733
7 0.323236 0.314921 0.32231 0.309502 0.27977 0.25487 0.316111 0.736763 0.473196 0.472361 0.476962 0.476325